code: def find_last_matching_index(
      tensor_a: torch.Tensor, tensor_b: torch.Tensor
  ):
      """Returns the last index of `tensor_a` that matches `tensor_b`. Specifically, this checks whether the tensor_b
      is in the last tensor_b.shape[0] elements of tensor_a.
  
      Args:
          tensor_a (torch.Tensor): The first tensor.
          tensor_b (torch.Tensor): The second tensor.
  
      Returns:
          int: The last index of `tensor_a` that matches `tensor_b`. Returns -1 if there is no matching index.
  
      Example:
          >>> import torch
          >>> tensor_a = torch.tensor([1, 2, 3, 4, 5, 6, 7, 8])
          >>> tensor_b = torch.tensor([6, 7, 8])
          >>> last_matching_index = find_last_matching_index(tensor_a, tensor_b)
          >>> last_matching_index
          5
      """
      last_index = -1
  
      tensor_a_length = tensor_a.shape[0]
      tensor_b_length = tensor_b.shape[0]
  
      # Get the last tensor_b_length elements of tensor_a.
      tensor_a_truncated = tensor_a[-tensor_b_length:]
  
      # Find the last matching index.
      for i in range(tensor_b_length):
          if torch.equal(
              tensor_a_truncated[i:], tensor_b[: tensor_b_length - i]
          ):
              last_index = tensor_a_length - tensor_b_length + i
              break
  
      return last_index
  
imports: import copy
  import logging
  import tempfile
  from typing import Dict, Optional, Tuple, TYPE_CHECKING, Union
  import torch
  import torch.nn.functional
  import transformers
  from bitsandbytes.nn.modules import Embedding
  from packaging import version
  from transformers import AutoConfig, AutoModelForCausalLM, PreTrainedModel, PreTrainedTokenizer, TextStreamer
  from ludwig.constants import IGNORE_INDEX_TOKEN_ID, LOGITS, PREDICTIONS, PROBABILITIES
  from ludwig.schema.trainer import LLMTrainerConfig
  from ludwig.utils.error_handling_utils import default_retry
  from ludwig.utils.logging_utils import log_once
  from ludwig.utils.model_utils import find_embedding_layer_with_path
label_desc: Use image node_id 9 for calling a global function with example usage: find_last_matching_index(tensor_a, tensor_b) and returns: last_index